Backend & AI-Enabled Engineering Technical Lead

Job Role: - Modern Backend & AI-Enabled EngineeringTech Lead
Experience: 7 -10 years in development with exposure to cloud-native architecture andmodern development tooling
Notice period: 15days to immediate joiners
Hiring mode: Permanent
Work Mode: Hybrid
Job Location: Trivandrum / Kochi

Job Summary:
We are seeking a highly skilled Tech Lead to drive the technical architecture design and deliveryof scalable cloud-native backend systems. This role combines deep hands-on expertise with technicalleadership ownership and mentorship.
As a Tech Lead you will be responsible for end-to-end backend architecture technical decision-makingengineering best practices and guiding teams to deliver secure high-performance systems. You will alsoleverage modern AI-assisted development accelerators to enhance productivity and innovation whileensuring engineering rigor and quality.

Key Responsibilities:
Technical Leadership & Ownership
Own end-to-end backend architecture and technical design for assigned projects or products.
Define scalable microservices-based architectures and distributed system design patterns.
Act as the technical decision authority and provide solution sign-off.
Drive technical roadmap planning aligned with business goals.
Identify and mitigate technical risks across delivery lifecycle.
Serve as the technical escalation point for production issues and performance challenges.

Architecture & Development
Design and develop scalable backend systems using (JavaScript / TypeScript).
Work with frameworks such as NestJS or Fastify.
Build secure production-grade RESTful APIs and event-driven systems.
Architect asynchronous processing caching strategies and message-driven systems.
Ensure high availability scalability maintainability and performance optimization.

Cloud & DevOps Engineering
Design and deploy containerized applications using Docker.
Orchestrate workloads using Kubernetes.
Leverage cloud-native services (AWS Azure or GCP).
Define and maintain CI/CD pipelines.
Implement infrastructure automation using Terraform / CloudFormation / Pulumi.
Ensure observability logging monitoring and production readiness.

AI-Enabled Engineering
Leverage AI-assisted development tools (e.g. GitHub Copilot ChatGPT AI-based testing andanalysis tools) responsibly to improve engineering productivity.
Validate AI-generated code for correctness performance and security.
Design and integrate AI-powered backend features such as LLM-based services intelligent APIsRAG workflows or automation services when required.

Quality & Governance
Conduct thorough code reviews and enforce engineering standards.
Establish backend best practices covering security performance scalability and maintainability.
Ensure strong authentication and authorization implementation (OAuth2 JWT).
Promote automated testing and code quality practices.

Team Leadership & Collaboration
Mentor and guide junior and mid-level engineers.
Support sprint planning estimation and backlog grooming from a technical perspective.
Collaborate closely with product frontend DevOps teams and stakeholders.
Foster a culture of ownership accountability and continuous improvement.

Required Skills:
7 years of strong experience in (JavaScript / TypeScript).
Proficiency in backend frameworks such as NestJS or Fastify.
Strong understanding of microservices architecture and distributed systems.
Expertise in REST APIs async programming background workers and event-driven design.
Hands-on experience with SQL and NoSQL databases (PostgreSQL MySQL MongoDB Redis).
Experience with containerization (Docker) and orchestration (Kubernetes).
Cloud experience in AWS / Azure / GCP.
Practical experience using AI-assisted code accelerators such as GitHub Copilot ChatGPT

AIbased linting/testing tools or similar developer productivity platforms.
Strong knowledge of authentication authorization (OAuth2 JWT) and API security.
Experience building scalable high-availability systems.
Working knowledge of CI/CD pipelines and DevOps practices.
Solid in Design principles and Best practices - Scalability Maintainability Security and
Performance optimizations.
Agile mindset and familiarity with Jira Git GitHub/GitLab Azure DevOps.

Good to Have:
Experience integrating AI/LLM services (OpenAI APIs RAG workflows vector search).
Exposure to event streaming platforms like Kafka.
Familiarity with vector databases (Pinecone Weaviate FAISS ChromaDB).
Experience mentoring teams in a services delivery environment.
Contribution to open-source backend or AI-integrated projects.

Required Skills: